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Call for Papers: The 7th Int. Conf. on Machine Learning, Optimization & Data Science – LOD 2021, October 5-8, 2021 – Grasmere, Lake District, England – UK - Paper Submission Deadline: April 29
by Ludovico Montalcini 26 Apr '21

26 Apr '21

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks! -- The 7th International Conference on Machine Learning, Optimization, and Data Science – LOD 2021 - October 5-8, 2021 – Grasmere, Lake District, England – UK LOD 2021, An Interdisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders https://lod2021.icas.cc lod(a)icas.cc PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2021 Paper Submission deadline: Thursday April 29, 2021 (Anywhere on Earth) Any questions regarding the submission process can be sent to conference organizers: lod(a)icas.cc PAPER FORMAT: Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2021, authors are required to select one of the following four types of papers: * long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (max. 5 pages); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; * abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments. Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. It is also possible to present the talk virtually (Zoom). KEYNOTE SPEAKERS: * Ioannis Antonoglou, DeepMind, UK Topics: AlphaGO, Model-Based Reinforcement Learning Title: TBA * Paige Bailey, Microsoft, USA Topics: TensorFlow 2.0, Data Analysis, Machine Learning Title: Machine Learning with TF 2.x and JAX * Panos Pardalos, University of Florida, USA Topics: Optimization, Complex Networks & Data Science Title: TBA * Verena Rieser, Heriot Watt University, UK Topics: Natural Language Processing, Conversational AI, Spoken Dialogue Systems, Dialog, Natural Language Generation Title: Advances and Challenges in Conversational AI More Keynote Speakers Coming soon! TUTORIAL SPEAKER(S): * "Introduction to PyTorch" (4 hours), Thomas Viehmann, MathInf GmbH, Germany More Tutorial Speakers Coming soon! PAST LOD KEYNOTE SPEAKERS: https://lod2021.icas.cc/past-keynote-speakers/ Pierre Baldi, University of California Irvine, USA Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany Jörg Bornschein, DeepMind, London, UK Michael Bronstein, Imperial College London, UK Nello Cristianini, University of Bristol, UK Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal Marco Gori, University of Siena, Italy Arthur Gretton, UCL, UK Arthur Guez, Google DeepMind, Montreal, UK Yi-Ke Guo, Imperial College London, UK George Karypis, University of Minnesota, USA Vipin Kumar, University of Minnesota, USA Marta Kwiatkowska, University of Oxford, UK Angelo Lucia, University of Rhode Island, USA George Michailidis, University of Florida, USA Kaisa Miettinen, University of Jyväskylä, Finland Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Tomaso Poggio, MIT, USA Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA Raniero Romagnoli, CTO Almawave, Italy Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa Vincenzo Sciacca, Almawave, Italy My Thai, University of Florida, USA Richard E. Turner, Department of Engineering, University of Cambridge, UK Ruth Urner, York University, Toronto, Canada Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany SPECIAL SESSIONS: https://lod2021.icas.cc/special-sessions/ *) Special Session on "Data Science for Sustainable Cities" Chairs: Alberto Castellini, Alessandro Farinelli, Giuseppe Nicosia, Varun Ojha Contact: alberto.castellini(a)univr.it The amount of data generated nowadays by society, city infrastructures, and digital technologies around us is astonishing. The analysis, modeling and knowledge extraction of/from these data is a key asset for understanding urban environments and improving the efficiency of urban mobility, air quality and other forms of sustainability. This special session provides a platform to share high-quality research ideas related to data science methods and technologies for urban environments, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a meeting point for researchers in academia and industry who develop methodologies and technologies for data science, machine learning and artificial intelligence with specific applications in smart and sustainable cities. Analytics for smart growth and effective infrastructure A selection of the best papers accepted for the presentation at the special session will be invited to submit an extended version for publication on Frontiers in Sustainable Cities ( https://www.frontiersin.org/journals/sustainable-cities#) *) Special Session on AI for Sustainability We welcome contributions on AI for Sustainable Development, AI for Sustainable Urban Mobility, AI for Food Security, AI to fight Deforestation, cutting-edge technology AI to create Inclusive and Sustainable development that leaves no one behind. *) Special Session on AI to help to fight Climate Change AI is a new tool to help us better manage the impacts of climate change and protect the planet. AI can be a “game-changer” for climate change and environmental issues. AI refers to computer systems that “can sense their environment, think, learn, and act in response to what they sense and their programmed objectives,” World Economic Forum report, Harnessing Artificial Intelligence for the Earth. We accept papers/short papers/talks at the intersection of climate change, AI, machine learning and data science. AI, Machine Learning and Data Science can be invaluable tools both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. We invite submissions using AI, Machine Learning and/or Data Science to address problems in climate mitigation/adaptation including but not limited to the following topics: * Industrial Session Chairs: Giovanni Giuffrida – Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Special Session on Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science BEST PAPER AWARD: Springer sponsors the LOD 2021 Best Paper Award with a cash prize of 1,000 Euro. https://lod2021.icas.cc/best-paper-award/ PROGRAM COMMITTEE: 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2021.icas.cc/program-committee/ VENUE: https://lod2021.icas.cc/venue/ “ESCAPE THE HURRYING WORLD – The loveliest spot that man hath ever found…” Escape to the Lake District, England – a UNESCO World Heritage site – and you’ll find it’s easy to share William Wordsworth’s delight in the area. The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK Phone: +44-1539-435592 Email: enquiry(a)thewordsworthhotel.co.uk Web: www.thewordsworthhotel.co.uk ACCOMMODATION: https://lod2021.icas.cc/accommodation/ ACTIVITIES: https://lod2021.icas.cc/activities/ Best WALKS in the Lake District National Park: https://lod2021.icas.cc/walks/ Submit your research work today! https://easychair.org/conferences/?conf=lod2021 See you in the beautiful Lake District - UK in October! Best regards, LOD 2021 Organizing Committee Past Editions https://lod2021.icas.cc/past-editions/ LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566. LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volume 11943. LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331. MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data Volterra – Tuscany – Italy. Springer – LNCS volume 10710. MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data Volterra – Tuscany – Italy. Springer – LNCS volume 10122. MOD 2015, International Workshop on Machine learning, Optimization and big Data Taormina – Sicily – Italy. Springer – LNCS volume 9432. Past Keynote Speakers: https://lod2021.icas.cc/past-keynote-speakers/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ * Apologies for multiple copies. Please forward to anybody who might be interested * lod(a)icas.cc https://lod2021.icas.cc LOD2021 Poster: https://lod2021.icas.cc/wp-content/uploads/sites/16/2021/04/poster-LOD-2021… --

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Live e-Lecture by Prof. Anibal Ollero: “Toward efficient and safe intelligent aerial robotics and aerial manipulation”, 4th May 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 26 Apr '21

26 Apr '21

Dear AI scientist/engineer/student/enthusiast, Prof. Anibal Ollero (University Seville, Spain), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ‘Toward efficient and safe intelligent aerial robotics and aerial manipulation’, on Tuesday 4th May 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/91092951412 & Passcode: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , TAILOR <https://tailor-network.eu/> , VISION <https://www.vision4ai.eu/> , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 – 18:00 CET. More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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[SIGKDD Workshop on Mining and Learning from Time Series 2021]: Call for papers
by Sanjay Purushotham 22 Apr '21

22 Apr '21

CFP Webpage: https://kdd-milets.github.io/milets2021/#call -------------------------------------------------------------- 7th SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS) 2021 Aug 14th, 2021 - KDD Virtual Conference https://kdd-milets.github.io/milets2021/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------------------------- MiLeTS is the premier KDD workshop on Mining and Learning from Time Series. Time series data are ubiquitous. In domains as diverse as finance, entertainment, transportation, and health care, we observe a fundamental shift away from parsimonious, infrequent measurement to nearly continuous monitoring and recording. Rapid advances in diverse sensing technologies, ranging from remote sensors to wearables and social sensing, are generating rapid growth in the size and complexity of time series archives. Thus, although time series analysis has been studied extensively, its importance only continues to grow. What is more, modern time series data pose significant challenges to existing techniques (e.g., irregular sampling in hospital records and spatiotemporal structure in climate data). Finally, time series mining research is challenging and rewarding because it bridges a variety of disciplines and demands interdisciplinary solutions. Now is the time to discuss the next generation of temporal mining algorithms. The focus of MiLeTS workshop is to synergize the research in this area and discuss both new and open problems in time series analysis and mining. The solutions to these problems may be algorithmic, theoretical, statistical, or systems-based in nature. Further, MiLeTS emphasizes applications to high impact or relatively new domains, including but not limited to biology, health and medicine, climate and weather, road traffic, astronomy, and energy. The MiLeTS workshop will discuss a broad variety of topics related to time series, including: · Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining. · BIG time series data. · Hardware acceleration techniques using GPUs, FPGAs and special processors. · Online, high-speed learning and mining from streaming time series. · Uncertain time series mining. · Privacy preserving time series mining and learning. · Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties. · Time series with special structure: spatiotemporal (e.g., wind patterns at different locations), relational (e.g., patients with similar diseases), hierarchical, etc. · Time series with sparse or irregular sampling, non-random missing values, and special types of measurement noise or bias. · Time series analysis using less traditional approaches, such as deep learning and subspace clustering. · Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality. · New, open, or unsolved problems in time series analysis and mining. ------------------------------ Submission Guidelines ------------------------------ Submissions should follow the SIGKDD formatting requirements and will be evaluated using the SIGKDD Research Track evaluation criteria. Preference will be given to papers that are reproducible, and authors are encouraged to share their data and code publicly whenever possible. Submissions are strongly recommended to be no more than 4 pages, excluding references or supplementary materials (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. All submissions must be in pdf format using the workshop template (latex, word). Submissions will be managed via the MiLeTS 2021 EasyChair website: https://easychair.org/conferences/?conf=milets2021. *Note on open problem submissions:* To promote new and innovative research on time series, we plan to accept a small number of high-quality manuscripts describing open problems in time series analysis and mining. Such papers should provide a clear, detailed description and analysis of a new or open problem that poses a significant challenge to existing techniques, as well as a thorough empirical investigation demonstrating that current methods are insufficient. *COVID-19 Time Series Analysis Special Track:* The COVID-19 pandemic is impacting almost everyone worldwide and is expected to have life-altering short and long-term effects. There are many potential applications of time series analysis and mining that can contribute to the understanding of this pandemic. We encourage the submission of high-quality manuscripts describing original problems, time-series datasets, and novel solutions for time series analysis and forecasting of COVID-19. The review process is single-round and double-blind (submission files have to be anonymized). Concurrent submissions to other journals and conferences are acceptable. Accepted papers will be presented as posters during the workshop and listed on the website. Besides, a small number of accepted papers will be selected to be presented as contributed talks. Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com. ----------------- KEY DATES ----------------- Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google Zhengping Che Didi Chuxing -------------------------- Steering Committee -------------------------- Eamonn Keogh University of California Riverside Yan Liu University of Southern California Abdullah Mueen University of New Mexico ------------- Contact: -------------- Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com.

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CFP - KDD 2021 Workshop on Misinformation and Misbehavior Mining on the Web (MIS2)
by Kai Shu 21 Apr '21

21 Apr '21

Workshop website: http://claws.cc.gatech.edu/mis2-kdd2021Call for papers The web is a space for all, allowing participating individuals to read, publish and share content openly. Despite its groundbreaking benefits in areas such as education and communication, it has also become a breeding ground for misbehavior and misinformation: any individual can reach thousands of people on the web near-instantaneously, purporting whatever they wish while also being shielded by anonymity. This capacity has led to rampant increases in misbehavior and misinformation vectors, via harassment, online scams, spread of propaganda, hate speech, deceptive reviews and more. Such issues have severe implications on both social and financial fronts. The study of misinformation and misbehavior mining has become focal for researchers across many subfields of data, computational and social sciences, including network science, machine learning, cybersecurity, privacy, natural language processing, human computer interaction and more. MIS2 @ KDD 2021 provides a venue for researchers working in, or adjacent to these diverse areas to coalesce around central and timely topics in online misinformation and misbehavior, and present recent advances in research. - Topics of interest include (but are not limited to): - Empirical characterization of false information - Measuring real world and online impact - Deception in misinformation and misbehavior - Reputation manipulation - Measuring economic, ideological, and other rationale behind creation - Rationale behind spread and success - Targets or victims of misbehavior and misinformation - Effect of echo chambers, personalization, confirmation bias, and other socio-psychological and technological phenomenon - Detection methods using graphs, text, behavior, image, video, and audio analysis - Adversarial analysis of misbehavior and misinformation - Prevention and mitigation techniques, tools, and countermeasures - Theoretical and/or empirical modeling of spread - Visualizing spread - Anonymity, security, and privacy aspects of data collection - Usable security in misbehavior detection - Ethics, privacy, transparency, fairness, and biases in current tools and techniques - Case studies Paper Submission We encourage submissions with both academic and industrial motivations, of the following types: - Novel research papers in full or short length - Demo papers - Survey papers - Comparison papers of existing methods and tools - Work-in-progress papers - Case studies - Extended abstracts - Relevant work that has been recently published (must select to opt out from publication in companion proceedings of the workshop) - Work that will be presented at the main conference of KDD 2021 (the submission should mention that your paper has been accepted at the conference) - We explicitly encourage the submission of preliminary work in the form of extended abstracts (2 pages). All submissions will be peer-reviewed by at least 2 reviewers, and all accepted manuscripts will be presented (virtually) at the workshop. Additionally, accepted papers will be published in the companion proceedings of the KDD conference and ACM digital library, unless the authors choose to opt out from publication. Format Papers must be submitted in PDF according to the new ACM format published in ACM guidelines <http://www.acm.org/publications/proceedings-template>, selecting the generic "sigconf" sample, with a font size no smaller than 9pt. Submissions should be 2 to 8 pages long. No need to anonymize your submission. Submission Link Papers should be submitted via the CMT: https://cmt3.research.microsoft.com/KDDMIS2021 Important Dates - Workshop Paper Submission: June 1st, 2021 - Workshop Paper Notification: June 10th, 2021 - Camera ready deadline: July 1st, 2021 - Workshop date: August 14-18, 2021 Organizers Srijan Kumar, Georgia Institute of Technology Aude Hofleitner, Facebook Meng Jiang, University of Notre Dame Neil Shah, Snap Kai Shu, Illinois Institute of Technology ContactPlease direct all questions to kdd_mis2(a)googlegroups.com

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CFP: Resilience@Euro-Par 2021 - Papers due May 7
by Thomas Naughton 20 Apr '21

20 Apr '21

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: TBD - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 7, 2021 (23:59 AoE) - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Invitation to attend the “European Vision for AI” e-event, Thursday 22 April 2021, 11:00-13:00 CEST
by Ioanna Koroni 19 Apr '21

19 Apr '21

European Researchers organize the “European Vision for AI” e-event for the General Public about the Present and Future of Artificial Intelligence in Europe, Thursday 22 April 2021, 11:00-13:00 CEST The European scientific community will share with the general public their actions towards moving European Artificial Intelligence (AI) forward, to future success in a growing competition environment with countries such as the US or China, in the “European Vision for AI'' event. The online discussions are scheduled for Thursday 22 April 2021, 11:00-13:00 CEST and organized by the <https://www.vision4ai.eu/> VISION project partners in cooperation with four networks of AI centers of excellence (AI4Media <https://www.ai4media.eu/> , ELISE <https://www.elise-ai.eu/> , TAILOR <https://tailor-network.eu/> , Humane-AI-Net <https://www.humane-ai.eu/> ). These networks were launched within the European Union’s Horizon 2020 Program in September 2020 and are bringing together scientists across Europe. In the event, European citizens with an interest in AI will gain an overview of Europe's position in the field of AI and how this impacts Europe's economy and society. The "European approach to AI" that is currently being promoted brings together excellence and trust, with the goal of creating a world-leading ecosystem committed to the "AI for Good" and "AI for All" concepts. Since this event is coordinated with, and closely linked to, the official announcement on new regulations and further investment in AI, scheduled by the European Commission in this week, the event will represent one of the first opportunities for public discussion on these new plans at the European level. Ms Dita Charanzová, Vice-President of the European Parliament, and Ms Lucilla Sioli, Director for Digital Industry within Directorate-General CONNECT at the European Commission, stand out prominently among the speakers together with other high-level experts and stakeholders. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project sees this event as a step towards closer communication of the European AI community with the general public: “We aim to get young people, researchers, innovators, companies, and policy makers, at least virtually, around one table and discuss ambitious European plans for AI as well as the emerging ecosystem of AI excellence.” Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and event panelist on ‘Skills & Training’ believes that: “AI education should be anthropocentric and tuned to form true thinkers and Knowledge Society citizens. A major education overhaul is needed, combining scientific basis and classical studies, to support AI excellence for an European AI brand.” Starting at 11am CEST, the event will be fully online, streamed at <http://event.vision4ai.eu> event.vision4ai.eu for free and with no prior registration. The program will be conducted in English. The public will be able to enter discussions via chat. Participants will also get the opportunity to choose from three parallel sessions focusing on society, industry and skills & training, depending on their particular interests. About the organizers This event is organized by the consortium of partners of the project VISION (www.vision4ai.eu <http://www.vision4ai.eu> ), the coordination and support action (CSA) awarded under the <https://cordis.europa.eu/programme/id/H2020_ICT-48-2020> H2020-ICT-48-2020 call. The aim of VISION is to reinforce, interconnect and mobilize Europe’s AI community. Europe has been investing in the European model of AI, with a new set of four <https://www.vision4ai.eu/community/> European networks of AI excellence centres. Launched in September 2020, these four networks of excellence centers - AI4Media, ELISE, HumanE-AI-Net and TAILOR - are now working on various aspects of trustworthy, human-centric AI. In parallel to these efforts, the VISION project aims to create connections, synergy and joint initiatives between these networks as well as with key stakeholders across Europe. These projects are key components in the European Commission's AI strategy. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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European Vision for AI 2021 - 22 April 2021 - 11am-1pm
by Ioanna Koroni 19 Apr '21

19 Apr '21

European Researchers organize the "European Vision for AI" event for the General Public about the Present and Future of Artificial Intelligence in Europe The European scientific community will share with the general public their actions towards moving European Artificial Intelligence (AI) forward, to future success in a growing competition environment with countries such as the US or China, in the "European Vision for AI'' event. The online discussions are scheduled for Thursday 22 April 2021 and organized by the <https://www.vision4ai.eu/> VISION project partners in cooperation with four networks of AI centres of excellence (AI4Media <https://www.ai4media.eu/> , ELISE <https://www.elise-ai.eu/> , TAILOR <https://tailor-network.eu/> , Humane-AI-Net <https://www.humane-ai.eu/> ). These networks were launched within the European Union's Horizon 2020 Program in September 2020 and are bringing together scientists across Europe. In the event, European citizens with an interest in AI will gain an overview of Europe's position in the field of AI and how this impacts Europe's economy and society. The "European approach to AI" that is currently being promoted brings together excellence and trust, with the goal of creating a world-leading ecosystem committed to the "AI for Good" and "AI for All" concepts. Since this event is coordinated with, and closely linked to, the official announcement on new regulations and further investment in AI, scheduled by the European Commission in this week, the event will represent one of the first opportunities for public discussion on these new plans at the European level. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project sees this event as a step towards closer communication of the European AI community with the general public: "We aim to get young people, researchers, innovators, companies, and policy makers, at least virtually, around one table and discuss ambitious European plans for AI as well as the emerging ecosystem of AI excellence." Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and event panelist on 'Skills & Training' believes that: "AI education should be anthropocentric and tuned to form true thinkers and Knowledge Society citizens. A major education overhaul is needed, combining scientific basis and classical studies, to support AI excellence for an European AI brand." Starting at 11am, the event will be fully online, streamed at <http://event.vision4ai.eu> event.vision4ai.eu for free and with no prior registration. The program will be conducted in English. The public will be able to enter discussions via chat. Participants will also get the opportunity to choose from three parallel sessions focusing on society, industry and skills & training, depending on their particular interests. About organisers This event is organised by the consortium of partners of the project VISION (www.vision4ai.eu <http://www.vision4ai.eu> ), the coordination and support action (CSA) awarded under the <https://cordis.europa.eu/programme/id/H2020_ICT-48-2020> H2020-ICT-48-2020 call. The aim of VISION is to reinforce, interconnect and mobilise Europe's AI community. Europe has been investing in the European model of AI, with a new set of four <https://www.vision4ai.eu/community/> European networks of AI excellence centres. Launched in September 2020, these four networks of excellence centres - AI4Media, ELISE, HumanE-AI-Net and TAILOR - are now working on various aspects of trustworthy, human-centric AI. In parallel to these efforts, the VISION project aims to create connections, synergy and joint initiatives between these networks as well as with key stakeholders across Europe. These projects are key components in the European Commission's AI strategy. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and AI4Media project -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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2nd Call For Workshops - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR WORKSHOPS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ September 20--27, 2021 Fully virtual event organized by the Department of Computer Science of the University of Porto. ========================================================================= The ICLP conference series has a long standing tradition of hosting a rich set of co-located workshops. ICLP workshops provide a unique opportunity for the presentation and discussion of work that can be preliminary in nature, novel ideas, and new open problems to a wide and interested audience. Co-located workshops also provide an opportunity for presenting specialized topics and opportunities for intensive discussions and project collaboration. The topics of the workshops co-located with ICLP 2021 can cover any areas related to logic programming (e.g., theory, implementation, environments, language issues, alternative paradigms, applications), including cross-disciplinary areas. However, any relevant workshop proposal will be considered. The format of the workshop will be decided by the workshop organizers, but ample time should be allowed for general discussion. Workshops can vary in length, but the optimal duration will be half a day or a full day. Workshop Proposals ****************** Those interested in organizing a workshop at ICLP 2021 are invited to submit a workshop proposal. Proposals should be in English and about two pages in length. They should contain: ** The title of the workshop; ** A brief technical description of the topics covered by the workshop; ** A discussion of the timeliness and relevance of the workshop; ** A list of any related workshops held in the last years; ** The estimated length of the workshop and an estimate of the number of expected attendees; ** The names, affiliation and contact details (email, web page, phone) of the workshop organizers together with a designated contact person; ** Previous experience of the workshop organizers in workshop/conference organization. Proposals are expected in text or PDF format. All proposals should be submitted to the Workshop Chair by email by May 3rd, 2021. Reviewing Process ***************** Each submitted proposal will be reviewed by the Workshop, Program and General Chairs. Proposals that appear well-organized and that fit the goals and scope of ICLP will be selected. The decision will be notified by email to the responsible organizer by May 10th, 2021. The definitive length of the workshop will be planned according to the number of submissions received by the different workshops. For every accepted workshop, the ICLP local organizers will prepare meeting facilities. The workshops and the conference organizers will collaborate in establishing a uniform approach to produce proficient and accessible proceedings for the workshops. Workshop Organizers' Tasks ************************** ** Producing a "Call for Papers" for the workshop and posting it on the Internet and other means. A web page URL should be provided by May 15th, 2021, and will be published on the ICLP 2021 home page; ** Providing a brief description of the workshop for the conference program; ** Reviewing/accepting submitted papers; ** Scheduling workshop activities in collaboration with the local organizers and the Workshop Chair; ** Providing a workshop program in a format specified by the conference organizers for posting by August 31st, 2021; ** Coordinating the preparation of the workshop proceedings according to the specifications provided by the Workshop Chair. Location ******** Workshops will be virtually collocated with ICLP 2021. See the ICLP 2021 web site (https://iclp2021.dcc.fc.up.pt/) for further details. Important Dates (Tentative) *************************** ** May 3rd, 2021: Proposal submission deadline ** May 10th, 2021: Notification ** May 15th, 2021: Deadline for receipt of CfP and workshop web page URL ** August 18th, 2020: Deadline for acceptance notification to paper authors ** August 31st, 2020: Deadline for workshop program Submissions *********** Please submit your workshop proposals by email to the Workshop Chair. Workshop Chair ************** Nicos Angelopoulos https://www.cardiff.ac.uk/people/view/2436650-angelopoulos-nicos =========================================================================

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2nd Call For Papers - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR PAPERS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ Fully virtual event organized by the Department of Computer Science of the University of Porto. Besides the main track, ICLP 2021 will host additional tracks and special sessions. In attach, follows the CFP for the Applications Track and for the Recently Published Research Track. ========================================================================= Scope ***** Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations:Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Special Sessions *************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track: this track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. ** Recently Published Research Track: this track provides a forum to discuss important results related to logic programming that appeared recently (from January 2019 onwards) in selective journals and conferences, but have not been previously presented at ICLP. Each track will have its own dedicated chairs, PC and evaluation criteria. The attached CFPs specify the submission details. ICLP 2021 will also host: ** MentorLP - Mentoring Workshop on Logic Programming: the purpose of MentorLP is to support students and newcomers to pursue careers in logic programming research. This workshop will hold technical sessions on cutting-edge research in logic programming, and mentoring sessions on how to prepare and succeed for a research career. We will have leaders in logic programming research from academia and industry to give talks on their research areas. We will also have live discussions among participants on how to overcome challenges and make contributions to the research community. MentorLP is dedicated to fostering and supporting diversity, equity, and inclusion. We especially encourage members of underrepresented groups to attend. ** Fall School on Logic and Constraint Programming: the school is suited for those who wish to learn advanced topics in logic programming and constraint programming. It will consist of a series of half-day tutorials. ** Doctoral Consortium: the Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. ** Tutorials and Co-located Workshops. Important Dates *************** ** Abstract registration (regular papers): May 3, 2021 ** Paper submission (regular paper): May 10, 2021 ** Notification to authors (regular paper): June 27, 2021 ** Paper Submission (short papers): July 4, 2021 *+ Revision submission (TPLP papers): July 14, 2021 ** Final notifications (all paper kinds): July 30, 2021 ** Camera-ready copy due (all paper kinds): August 10, 2021 ** Conference: September 20--27, 2021 Submission Details ****************** Expected submissions to the main track (for the additional tracks, please follow the specific CFP): ** Regular papers (14 pages in TPLP format, including references) must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings. The accepted regular papers will be published in TPLP, along with the selected ICLP-TPLP papers. The program committee may recommend some regular papers to be published as technical communications (TCs), along with the selected ICLP-TC papers. The authors of the TCs can also elect to convert their submissions into extended abstracts (2 or 3 pages) for inclusion in the proceedings. This should allow authors to submit a long version elsewhere. ** Short papers (7 pages in EPTCS format (http://info.eptcs.org/) including references) can describe published research. The accepted short papers that describe original and previously unpublished work will be published as TCs, along with the selected ICLP-TC papers. The accepted short papers that describe published research will be made available at the conference webpage, with the permission of the authors. All accepted regular papers and technical communications will be presented during the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. All submissions must be written in English. Submissions will be done via EasyChair. The submission Web page for ICLP2021 is https://easychair.org/conferences/?conf=iclp2021 Organization ************ ** General Chair Ricardo Rocha, University of Porto, Portugal ** Program Chairs Andrea Formisano, University of Udine, Italy Y. Annie Liu, Stony Brook University, USA ** Organizing and Publicity Chair Miguel Areias, University of Porto, Portugal ** Applications Track Alex Brik, Google Inc., USA Joost Vennekens, KU Leuven, Belgium ** Recently Published Research Track Gian Luca Pozzato, University of Genova, Italy Neng-Fa Zhou, CUNY Brooklyn College and Graduate Center, USA ** MentorLP - Mentoring Workshop on Logic Programming Veronica Dahl, Simon Fraser University, Canada Paul Fodor, Stony Brook University, USA ** Workshop Chair Nicos Angelopoulos, Cardiff University, UK ** Doctoral Consortium and Fall School Chairs Bart Bogaerts, Vrije Universiteit Brussel, Belgium Carmine Dodaro, University of Calabria, Italy ** Programming Contest Chair Mario Alviano, University of Calabria, Italy Program Committee ***************** Agostino Dovier, University of Udine, Italy Alicia Villanueva, Universitat Politècnica de València, Spain Allen van Gelder, University of California Santa Cruz, USA Antonius Weinzierl, Vienna University of Technology, Austria Carlos Olarte, Universidade Federal do Rio Grande do Norte, Brazil Chiaki Sakama, Wakayama University, Japan Ekaterina Komendantskaya, Heriot-Watt University, UK Enrico Pontelli, New Mexico State University, USA Esra Erdem, Sabanci University, Turkey Fangzhen Lin, Hong Kong University of Science and Technology Francesca Alessandra Lisi, University of Bari, Italy Francesco Ricca, University of Calabria, Italy German Vidal, Universitat Politècnica de València, Spain Giovambattista Ianni, University of Calabria, Italy Gopal Gupta, University of Texas, USA Inês Dutra, University of Porto, Portugal Jan Wielemaker, VU University of Amsterdam, Netherlands Jia-Huai You, University of Alberta, Canada Jorge Lobo, Pompeu Fabra University, Barcelona, Spain Jose F. Morales, IMDEA Software Institute, Spain Katsumi Inoue, National Institute of Informatics, Japan Konstantin Schekotihin, Alpen-Adria-Universität Klagenfurt, Austria Laura Giordano, Università del Piemonte Orientale, Italy Magdalena Ortiz, Vienna University of Technology, Austria Manuel Carro, Technical University of Madrid and IMDEA, Spain Manuel Hermenegildo, IMDEA and Universidad Politécnica de Madrid, Spain Manuel Ojeda-Aciego, University of Malaga, Spain Marcello Balduccini, Saint Joseph's University, USA Marco Gavanelli, University of Ferrara, Italy Marina De Vos, University of Bath, UK Mario Alviano, University of Calabria, Italy Martin Gebser, Alpen-Adria-Universität Klagenfurt, Austria Mauricio Osorio, Universidad de las Americas Puebla, Mexico Michael Gelfond, Texas Tech University, USA Michael Hanus, CAU Kiel, Germany Michael Kifer, Stony Brook University, USA Michael Leuschel, University of Dusseldorf, Germany Michael Thielscher, The University of New South Wales, Australia Mirek Truszczynski, University of Kentucky, USA Nicola Leone, University of Calabria, Italy Ondřej Lhoták, University of Waterloo, Canada Orkunt Sabuncu, TED University, Turkey Paul Tarau, University of North Texas, USA Pedro Cabalar,University of Corunna, Spain Roland Yap, National University of Singapore, Republic of Singapore Roman Barták, Charles University, Czech Republic Salvador Abreu, Universidade de Évora, Portugal Sarah Alice Gaggl, Technische Universität Dresden, Germany Stefan Woltran, Vienna University of Technology, Austria Stefania Costantini, University of L'Aquila, Italy Theresa Swift, Universidade Nova de Lisboa, Portugal Thomas Eiter, Vienna University of Technology, Austria Thomas Meyer, University of Cape Town, South Africa Toby Walsh, University of New South Wales, Australia Tom Schrijvers, KU Leuven, Belgium Tomi Janhunen, Tampere University, Finland Torsten Schaub, University of Potsdam, Germany Tran Cao Son, New Mexico State University, USA Tuncay Tekle, Stony Brook University, USA Vitor Santos Costa, University of Porto, Portugal Viviana Mascardi, University of Genova, Italy Vladimir Lifschitz, University of Texas, USA Wolfgang Faber, Alpen-Adria-Universität Klagenfurt, Austria ========================================================================= Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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Live e-Lecture by Prof. Nicu Sebe: “Image and Video Generation: A deep Learning Approach”', 20th April 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 15 Apr '21

15 Apr '21

Dear AI scientist/engineer/student/enthusiast, Prof. Nicu Sebe (University of Trento, Italy), a prominent AI researcher internationally, will deliver the e-lecture: ‘Image and Video Generation: A deep Learning Approach’, on Tuesday 20th April 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/99459774837 & Passcode: 649253 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , TAILOR <https://tailor-network.eu/> , VISION <https://www.vision4ai.eu/> , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 – 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 – 18:00 CET. More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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